- Alternative title
-
White-Etching-Crack-Früherkennung unter Verwendung künstlicher neuronaler Netzwerke
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
In: 10.1007/s10010-021-00481-y
- Event
-
Veröffentlichung
- (where)
-
Aachen
- (who)
-
Universitätsbibliothek der RWTH Aachen
- (when)
-
2021
- Creator
- DOI
-
10.18154/RWTH-2021-04243
- URN
-
urn:nbn:de:101:1-2021050504453042676913
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:50 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Liu, Xiaodi
- Azzam, Baher
- Harzendorf, Freia
- Kolb, Johann
- Schelenz, Ralf
- Hameyer, Kay
- Jacobs, Georg
- Universitätsbibliothek der RWTH Aachen
Time of origin
- 2021
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Reducing cost uncertainty in the drivetrain design decision with a focus on the operational phase
Pattern Discovery in White Etching Crack Experimental Data Using Machine Learning Techniques
Coupling of electromagnetic and structural dynamics for a wind turbine generator
Multi-Megawatt Wind Turbine with Multiple High-speed Generators
New Drive Train Concept with Multiple High Speed Generator
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Reducing cost uncertainty in the drivetrain design decision with a focus on the operational phase
The effect of blade-tower interaction on the structure loading of multi megawatt horizontal axis wind turbine
Early stage white etching crack identification using artificial neural networks
Reducing cost uncertainty in the drivetrain design decision with a focus on the operational phase
Pattern Discovery in White Etching Crack Experimental Data Using Machine Learning Techniques
Coupling of electromagnetic and structural dynamics for a wind turbine generator
Multi-Megawatt Wind Turbine with Multiple High-speed Generators
New Drive Train Concept with Multiple High Speed Generator
Development of hierarchical testing workflows to support virtual verification of technical systems
Method to determine the local load cycles of a blade bearing using flexible multi-body simulation
Hybrid NVH Simulation for Electrical Vehicles II - Structural Model
Comparison of transfer path characteristics for different wind turbine drivetrain variations
Reducing cost uncertainty in the drivetrain design decision with a focus on the operational phase